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AEDB Protocol Tuning with a Fast Efficient Parallel Multi-Objective Local Search

Abstract : Mobile ad hoc networks (MANETs) are infrastructure-less communication networks spontaneously created by a number of mobile devices. Due to its highly fluctuating topology, finding the optimal configuration of communication protocols is a complex and crucial task. Additionally, different objectives must be usually considered. In our previous work, we introduced a novel parallel multi-objective local search to optimise the AEDB broadcasting protocol in terms of coverage, energy used, broadcasting time, and network resources. In this paper, we extend our previous work by studying three different versions of the problem, that are restricting the minimum coverage value for valid solutions, in order to accelerate the search and make it focus on the desired area of the search space. Additionally, the convergence speed of the algorithm was analysed, and different population initialisation techniques were compared. The new algorithm is validated vs. efficient state-of-the art multi-objective evolutionary techniques, offering high quality results in much shorter times, especially for high coverage solutions.
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Contributor : Dorronsoro Bernabe Connect in order to contact the contributor
Submitted on : Wednesday, January 15, 2014 - 11:28:47 AM
Last modification on : Friday, January 21, 2022 - 3:20:00 AM



Santiago Iturriaga, Sergio Nesmachnow, Patricia Ruiz, Pascal Bouvry, Bernabé Dorronsoro. AEDB Protocol Tuning with a Fast Efficient Parallel Multi-Objective Local Search. IJAHUC - International Journal of Ad Hoc and Ubiquitous Computing, 2014, 17 (2-3), pp.144-161. ⟨10.1504/IJAHUC.2014.065775⟩. ⟨hal-00931308⟩



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